Instructions to use junyaoren/code-llama-7b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use junyaoren/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "junyaoren/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffcea192f746b2f0e96c5dac191f25d6c7eb1af2c8b27318fe70089bada135ab
- Size of remote file:
- 1.8 GB
- SHA256:
- 19667823e6805de634b8e47c3a591918df3bbf1577e4be1061f8553f62ddf4b6
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